528 citations · 2.5k across the 61 of their papers we have counts for
7 papers · 1 filter
Spectral Compressed Sensing via CANDECOMP/PARAFAC Decomposition of Incomplete Tensors
Jun Fang, Linxiao Yang, Hongbin Li
We consider the line spectral estimation problem which aims to recover a mixture of complex sinusoids from a small number of randomly observed time domain samples. Compressed sensi…
An Efficient Bayesian PAPR Reduction Method for OFDM-Based Massive MIMO Systems
Hengyao Bao, Jun Fang, Zhi Chen +2
We consider the problem of peak-to-average power ratio (PAPR) reduction in orthogonal frequency-division multiplexing (OFDM) based massive multiple-input multiple-output (MIMO) dow…
An Iterative Reweighted Method for Tucker Decomposition of Incomplete Multiway Tensors
Linxiao Yang, Jun Fang, Hongbin Li +1
We consider the problem of low-rank decomposition of incomplete multiway tensors. Since many real-world data lie on an intrinsically low dimensional subspace, tensor low-rank decom…
On the Secrecy Capacity of a MIMO Gaussian Wiretap Channel with a Cooperative Jammer
Lingxiang Li, Zhi Chen, Jun Fang +1
We study the secrecy capacity of a helper-assisted Gaussian wiretap channel with a source, a legitimate receiver, an eavesdropper and an external helper, where each terminal is equ…
Two-Dimensional Pattern-Coupled Sparse Bayesian Learning via Generalized Approximate Message Passing
Jun Fang, Lizao Zhang, Hongbin Li
We consider the problem of recovering two-dimensional (2-D) block-sparse signals with \emph{unknown} cluster patterns. Two-dimensional block-sparse patterns arise naturally in many…
Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model
Linxiao Yang, Jun Fang, Hong Cheng +1
We consider a dictionary learning problem whose objective is to design a dictionary such that the signals admits a sparse or an approximate sparse representation over the learned d…